analysis_exclusion_impact_preview
Before applying a batch of exclusions / blocks / negative
This record as markdown: /tools/logly-mureo/analysis-exclusion-impact-preview.md
What analysis_exclusion_impact_preview does on Mureo
AI agents call analysis_exclusion_impact_preview to retrieve information from Mureo without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why analysis_exclusion_impact_preview is rated Low
Tool previews impact of exclusions without actually applying them; read-only analysis.
From the tool's definition preview — before applying exclusions/blocks/negatives
Attacks that exploit this kind of access
The rule that runs analysis_exclusion_impact_preview safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mureo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For analysis_exclusion_impact_preview, this is the rule to start with:
analysis_exclusion_impact_preview is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mureo, apply this rule, and every analysis_exclusion_impact_preview call is checked against it from then on.
Questions about analysis_exclusion_impact_preview
Before applying a batch of exclusions / blocks / negative. It is categorised as a Read tool in the Mureo MCP Server, which means it retrieves data without modifying state.
Register the Mureo MCP server in PolicyLayer and add a rule for analysis_exclusion_impact_preview: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mureo. Nothing to install.
analysis_exclusion_impact_preview is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the analysis_exclusion_impact_preview rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for analysis_exclusion_impact_preview. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
analysis_exclusion_impact_preview is provided by the Mureo MCP server (logly/mureo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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